Comparison of 2D and 3D fluorescence image analysis

Here, we conduct a proof of principle by comparing a 2D and 3D fluorescent image analysis based approach on unlabeled cardiomyocytes. Based on the CellProfiler software, we extracted high-dimensional features of individual cells and nuclei, which are subsequently down-sampled and clustered. These clusters are furthermore benchmarked via different machine learning classifiers (e.g., AdaBoost, Gradient Boosting, Random Forest) as the ground truth for our proposed approach.

SEEK ID: https://fairdomhub.org/assays/1367

Modelling Analysis

Markus Wolfien

Projects: iRhythmics

Investigation: hidden item

Study: hidden item

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Biological problem addressed: Model Analysis Type

Organisms: No organisms

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Created: 16th Oct 2020 at 12:55

Last updated: 16th Oct 2020 at 14:28

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